A mid-sized mattress brand recently ran a simple experiment: they asked ChatGPT, Perplexity, and Google’s AI Overviews the exact question a first-time buyer would type — “what’s the best mattress for back pain under $1,000?”
Their product didn’t appear in a single answer.
Not because it was a bad product, and not because their SEO was weak — their blog ranked on page one for a dozen related keywords.
It simply didn’t exist inside the AI’s frame of reference.
Two direct competitors did, quoted by name, with specific claims about firmness and materials lifted straight from retailer pages the brand didn’t even know were being read.
Nobody at the company had seen this conversation happen.
There was no notification, no dashboard — just a buying decision quietly forming inside a chat window, with their brand absent from it.
That scenario plays out thousands of times a day across every category, and most brands have no way to know it’s happening.
When a customer asks an AI assistant to compare software vendors, recommend a skincare routine, or explain which bank offers the best small-business loan, the assistant synthesizes an answer from whatever it has read, ranked, and trusted — then hands over a shortlist, sometimes a single recommendation, without ever showing a results page.
The brand doesn’t get to bid on that placement, doesn’t see the query, and often doesn’t find out it was left off the list until a salesperson notices leads have quietly dried up.
This is why Answer Engine Optimization (AEO), also called Generative Engine Optimization (GEO), has emerged as a discipline in its own right rather than a side project for the SEO team.
Traditional search optimization was built for a world of blue links: you optimized a page, it ranked, a person clicked it.
That world hasn’t disappeared, but a growing share of research and purchase consideration now happens entirely inside AI chat interfaces that read dozens of sources, synthesize a single answer, and cite only a handful of them.
A SparkToro analysis of Similarweb clickstream data found that Google searches now end without a click more than two-thirds of the time in the U.S. — and that when an AI Overview appears on a results page, click-through to external sites drops by nearly 60%.
Brands need purpose-built tools to see whether they’re being cited, quoted, recommended, or ignored inside these systems, because the old rank-tracking spreadsheet simply doesn’t capture what’s happening anymore.
What Makes a Great AEO/GEO Tool?
Coverage across AI platforms is the first test worth applying: ChatGPT, Perplexity, Google AI Overviews and AI Mode, Gemini, Microsoft Copilot, and increasingly Claude and Meta AI each shape a different slice of consumer research, and a tool watching only one or two is reporting on a fraction of where buyers actually are.
Brand mention and citation tracking matters more than a simple keyword count — the real question isn’t whether your brand is named, but whether the AI actually links to or credits your domain, since citations are what drive whatever residual traffic still flows from these answers.
Share-of-voice benchmarking against competitors turns a raw mention count into something a team can act on. Knowing you were cited in 40% of relevant answers means little until you know a rival was cited in 70%.
Prompt and query monitoring, paired with sentiment analysis, separates a serious tool from a vanity metric — being mentioned isn’t the same as being recommended.
Actionable content recommendations separate a monitoring dashboard from a genuine optimization tool: the strongest platforms tell you which pages, structured data, or third-party sources to fix, rather than leaving a marketing team to guess.
And finally, pricing and reporting depth decide whether a tool fits a solo marketer or an enterprise team tracking dozens of brands, since credit-based, prompt-capped, and flat-fee models all coexist in this category.
The Best AEO/GEO Tools for AI Search
1. Profound
Profound is the tool most often cited as this category’s enterprise standard-bearer, founded by James Cadwallader and Dylan Babbs to give large brands a systematic way to measure how they show up across ChatGPT, Perplexity, Claude, Gemini, Grok, Copilot, DeepSeek, and Google AI Overviews. It raised a $20 million Series A led by Kleiner Perkins, with Khosla Ventures and NVIDIA’s venture arm also participating.
What sets Profound apart is where its data comes from. Rather than relying solely on simulated prompts, its “Profound Index” draws on hundreds of millions of anonymized, real conversations sourced from consented consumer panels, clustered by commercial intent. Layered on top is “Agent Analytics,” which shows how AI crawlers like GPTBot, Google-Extended, and PerplexityBot actually crawl a brand’s site — a data layer few competitors expose at all.
That combination lets a brand see not just what AI is saying about it, but what raw material it’s reading in the first place — making Profound especially strong for teams that need to defend, not just monitor, their position.
Best for: Enterprise brand, PR, and content teams that need real-conversation-grade data and crawler-level visibility to defend market position across every major AI assistant.
| Plan | Key Limits | Price |
| Starter | ChatGPT only, 50 prompts (~1,500 responses/mo), 100 agent credits/mo, 1 seat | $99/month (billed annually) |
| Growth | 3 engines (ChatGPT, Perplexity, Google AI Overviews), 100 prompts (~9,000 responses/mo), 3 seats | $399/month (billed annually) |
| Enterprise | Up to 9 engines, custom prompt volume, SSO/SAML, SOC 2, API access | Custom pricing |
2. Otterly.AI
Otterly.ai comes out of Austria, founded by Thomas Peham, Klaus-M. Schremser, and Josef Trauner, and has positioned itself as the breadth play in this category — querying seven major AI engines daily, including ChatGPT, Google AI Overviews and AI Mode, Gemini, Perplexity, Copilot, and Claude, across 65+ countries and languages, as a neutral, non-personalized user.
Beyond raw visibility tracking, Otterly surfaces citation and domain tracking, sentiment analysis that distinguishes an enthusiastic recommendation from a hedged mention, competitive “Brand Reports,” and a “Query Fan-Out” feature that reveals the related, implicit-intent questions customers ask around a core topic. It also audits content for AI crawlability and tracks the ads now appearing inside ChatGPT and AI Overviews.
What differentiates Otterly is its sheer breadth of multi-engine, multi-market coverage, paired with prescriptive recommendations rather than a dashboard alone — a reach a strategic integration partnership with Semrush has widened further among agencies.
Best for: Marketing teams and agencies operating across multiple countries or languages that need broad AI-engine coverage plus concrete next steps, not just numbers.
| Plan | Key Limits | Price |
| Lite | 15 prompts, 4 engines, 1,000 GEO URL audits/mo | $29/month |
| Standard | 100 prompts, API + MCP access, 5,000 URL audits/mo | $189/month |
| Premium | 400 prompts, 10,000 URL audits/mo, unlimited workspaces | $489/month |
| Enterprise | Custom prompt/audit limits, SSO, dedicated success manager | Custom, starting around $1,000/month |
3. Peec AI
Peec AI emerged from Berlin’s Antler accelerator, founded by Marius Meiners, Tobias Siwonia, and Daniel Drabo, and has grown fast enough to raise a $21 million Series A at a valuation reported to have tripled since its seed round.
Its core technical bet is unusual: rather than relying only on official APIs, Peec simulates real user interactions through each platform’s actual interface, capturing what an end customer genuinely sees. It tracks ChatGPT, Google AI Overviews and AI Mode, Perplexity, Gemini, and Copilot as standard, with Claude and Mistral as add-ons, and classifies every citation into one of five types — editorial, corporate, user-generated, reference, or owned — each mapped to a recommended action like PR outreach or a partnership.
The differentiator agencies notice first is workflow: Peec was built around per-project organization from day one, making it straightforward to manage visibility across a roster of clients — and, paired with citation-type classification, gives teams a clearer sense of why a competitor is winning a citation, not just that they are.
Best for: Digital agencies and in-house marketing teams managing AI visibility across multiple brands or projects who want citation-level detail tied to specific next actions.
| Plan | Key Limits | Price |
| Starter | 50 prompts, 3 models, 1 project | ~$95/month (billed annually) |
| Pro | 150 prompts, 3 models, 2 projects | ~$245/month (billed annually) |
| Advanced | 350 prompts, 3 models, 5 projects, multi-country support | ~$495/month (billed annually) |
| Enterprise | All ~13 models, unlimited projects, API access, SSO | Custom pricing |
4. Scrunch AI
Scrunch was founded by Chris Andrew and Robert MacCloy, and made one of the biggest headlines in the category when it was acquired by Sitecore, the enterprise digital-experience platform — a deal that signaled large enterprise software players now see AEO as core infrastructure, not a niche add-on.
Scrunch tracks eight platforms using a hybrid of browser automation and official APIs to pull real, unproxied responses, reporting citations, placement position, sentiment, share of voice, and a proprietary “Influence Score” weighting each citation by frequency and reach.
Where Scrunch pulls ahead of pure monitoring dashboards is its self-described “Agent Experience Platform” positioning: it doesn’t stop at telling a brand it’s being ignored, it serves pre-rendered, bot-friendly versions of a brand’s content specifically for AI crawlers to read — closing the loop between diagnosis and fix, backed by SOC 2 Type II compliance.
Best for: Mid-market and enterprise teams that want AI visibility monitoring and machine-readable content optimization handled inside one platform, especially those already inside a broader digital-experience stack.
| Plan | Key Limits | Price |
| Starter | 3 user licenses, 350 custom prompts, 1,000 industry prompts, 5 page audits | $300/month ($250/month billed annually) |
| Growth | 5 user licenses, 700 custom prompts, 2,500 industry prompts, 10 page audits | $500/month ($417/month billed annually) |
| Enterprise | Custom limits and seats | Custom pricing |
5. AthenaHQ
AthenaHQ came out of Y Combinator, founded by Andrew Yan, a former Google Search product manager and DeepMind alumnus, alongside Alan Yao — a pedigree the company leans on to position itself as built for generative search from the ground up, not a legacy SEO tool with an AI feature bolted on.
The platform monitors ChatGPT, Perplexity, Google AI Overviews and AI Mode, Gemini, Claude, Copilot, and Grok, surfacing citation and recommendation data plus brand-mention share. Its more distinctive move is connecting AI-answer visibility directly to lead conversion data, rather than leaving marketers to work out that correlation by hand, with an AI copilot named “Athena” auto-drafting recommendations through an “Action Center.”
That pipeline-attribution angle is AthenaHQ’s clearest differentiator, and it explains why its case studies lean toward B2B SaaS and DTC brands that want to know not just whether they’re cited, but whether that citation is moving revenue.
Best for: B2B SaaS and growth-stage companies that want AI visibility tracking connected directly to lead and pipeline data, not just mention counts.
| Plan | Key Limits | Price |
| Essential | ~300 credits, basic prompt analysis | Free ($25 in credits) |
| Starter | 3,600 credits/month, CSV export, integrations | $295/month |
| Enterprise | Custom credit allocation, SSO, BI integrations | Custom pricing |
6. Goodie
Goodie was built by the team behind NoGood, the New York growth-marketing agency, under founder Mostafa Elbermawy, an early AEO strategist. That agency pedigree shows in the product: Goodie is organized around a closed-loop “Research → Monitor → Action → Measure” workflow rather than a dashboard alone.
Its platform coverage is among the broadest in the category — up to twelve models on its top tier, including the usual ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews, plus notably Amazon Alexa for Shopping, an agentic-commerce channel almost no competitor tracks. It reports mentions, citations, ranking position, sentiment, and share of voice, segmented by geography, persona, model, and topic.
The differentiator worth flagging is Goodie’s separate Agency pricing track, built around “pitch workspaces” that let agencies build AEO proposals for prospective clients before onboarding them — a sign of how seriously this category is now being sold as a service line, not just a tool.
Best for: Agencies pitching AEO as a service line to multiple clients, and enterprise brands in commerce, travel, or regulated industries that need the broadest possible platform coverage.
| Plan | Key Limits | Price |
| Core (Brand) | 5 platforms, 100 prompts, 3 seats | $399/month |
| Pro (Brand) | 8 platforms, 250 prompts, 5 seats | $999/month |
| Enterprise (Brand) | Up to 12 models, 500+ prompts, 10+ seats | Custom pricing |
| Growth (Agency) | 10 pitch workspaces/month, unlimited seats | $350/month |
| Enterprise (Agency) | Custom client configurations, up to 12 models | Custom pricing |
7. Rankscale
Rankscale, built by Austria’s Mathias Ptacek and Patrick Schmid, takes a different approach to a problem nearly every other tool on this list monetizes the same way: gating specific AI engines behind higher tiers. Rankscale instead includes all 17-plus engines it tracks — ChatGPT, Perplexity, Gemini, AI Mode, AI Overviews, Claude, Copilot, DeepSeek, and Grok among them — on every paid plan, scaling price by usage credits rather than by which assistants a customer can watch.
The platform runs prompt-based queries across 240+ countries and virtually every major language, layering on citation analysis, visibility scoring, sentiment, automatic competitor identification, and page-level AI-readiness audits.
For a brand or agency already quoted a per-engine add-on fee elsewhere in this list, Rankscale’s flat, engine-agnostic pricing is the clearest reason to take a look — it removes the awkward math of deciding which AI assistants are worth paying extra to monitor.
Best for: Teams that want every major AI engine tracked from day one without paying incremental fees to unlock each one individually.
| Plan | Key Limits | Price |
| Essentials | Basic monitoring, email support | $20/month |
| Pro | 1,200 credits/mo, 10 dashboards, 50 page audits/mo | $99/month |
| Growth | 5,500 credits/mo, 50 dashboards, white-label dashboards, API | $385/month |
| Enterprise | 12,000 credits/mo, 100 dashboards, dedicated support | $780/month |
| Custom | Negotiated limits, SSO, dedicated success manager | Custom pricing |
8. Ahrefs Brand Radar
Brand Radar isn’t a standalone company — it’s a module inside Ahrefs, one of the most widely used SEO platforms anywhere, making it the obvious starting point for any SEO team that doesn’t want a new vendor relationship. It draws on Ahrefs’ existing database of several hundred million search-backed prompts for a zero-setup visibility read across ChatGPT, Perplexity, Gemini, Copilot, and Google AI Overviews and AI Mode.
Beyond that automatic benchmark, teams can define their own Custom Prompts — specific buyer-intent questions checked daily against selected AI platforms — and Brand Radar reports the resulting mentions, citations, and an AI-specific share-of-voice metric against named competitors. It has also expanded into tracking YouTube and Reddit visibility, on the logic that AI answers increasingly cite video and forum content as heavily as web pages.
The clear differentiator is integration: Brand Radar data sits next to the Site Explorer, Rank Tracker, and Web Analytics data an SEO team already uses, so AI visibility can be cross-referenced against traditional organic performance in one dashboard rather than reconciled across two logins.
Best for: SEO teams already running Ahrefs who want an instant, zero-setup AI-visibility benchmark before deciding whether they need a dedicated tool at all.
| Plan | Key Limits | Price |
| Ahrefs Lite | 150 bundled AI checks/mo, 5 prompts/day | $129/month |
| Ahrefs Standard | 300 bundled AI checks/mo, 10 prompts/day | $249/month |
| Ahrefs Advanced | 600 bundled AI checks/mo, 20 prompts/day | $449/month |
| AI Visibility Index add-on | 83 prompts/day, 2,500 checks/mo, all major platforms | From $199/month |
| Ahrefs Enterprise | 2,500+ bundled AI checks/mo, 83+ prompts/day | $1,499/month |
9. SE Ranking AI Visibility Tracker
SE Ranking has bolted its AI Visibility Tracker, paired with a companion dashboard called SE Visible, onto its existing rank-tracking and site-audit suite, covering Google AI Overviews and AI Mode, ChatGPT, Gemini, and Perplexity across multiple markets. Rather than relying purely on API sampling, it simulates real user queries through each platform’s interface.
It reports linked and unlinked brand mentions, citation links back to your domain, competitive benchmarking against up to five rivals, and prompt-level performance showing which queries drive visibility, with API and MCP integration for pulling data into a team’s own stack.
The practical differentiator is the same one Ahrefs offers: an SEO team that already has SE Ranking’s keyword lists and competitor sets configured doesn’t have to rebuild that setup from scratch in a separate AI-tracking tool — it layers on top of data that’s already there.
Best for: SEO agencies and in-house teams already using SE Ranking for rank tracking who want AI-answer visibility reported side by side with traditional SERP performance.
| Plan | Key Limits | Price |
| Core | 2,000 keywords/day, 10 projects, 1 seat | $129/month ($103.20/month billed annually) |
| Growth | 5,000 keywords/day, 30 projects, 3 seats | $279/month ($223.20/month billed annually) |
| AI Search add-on | 200 prompts, SE Visible dashboard | $89/month ($71.20/month billed annually) |
| Enterprise | Custom limits | Custom pricing |
10. Semrush AI Visibility Toolkit
Semrush’s answer to this category is the AI Visibility Toolkit, sold either as a standalone subscription or bundled into Semrush One, its unified SEO-plus-AI plan. Its distinctive technical choice is scale: most reporting draws on a historical database of several hundred million prompts and responses captured from real interactions with ChatGPT, Gemini, and Google AI Overviews and AI Mode — explicitly not via the models’ own APIs — refreshed daily.
On top sits Prompt Tracking, which monitors a brand’s chosen prompts against target platforms daily, much the way Semrush’s Position Tracking has long monitored Google rankings — together producing an AI Visibility Score, mention and citation counts, share of voice, and sentiment analysis.
The differentiator is speed and scale of benchmarking: because so much of the reporting draws on a pre-built historical corpus rather than live-querying every prompt for every customer, Semrush can surface market-wide visibility comparisons fast — and because it inherits Semrush’s existing keyword and competitor data, AI visibility can be cross-referenced against organic performance without leaving the platform.
Best for: Teams already inside the Semrush ecosystem who want AI-visibility benchmarking cross-referenced against their existing keyword and competitor data at scale.
| Plan | Key Limits | Price |
| AI Visibility Toolkit (Base, standalone) | 25 custom prompts/day, 1 domain, 300 reports/day | $99/month per domain (billed annually) |
| Semrush One – Starter | AI visibility included, ~50 prompts/day | ~$199/month list (~$165/month billed annually) |
| Semrush One – Pro+ and Advanced | AI visibility included, higher prompt allowances (roughly 100–200/day) | Higher tiers — see Semrush’s pricing page for current rates |
| Enterprise | Unlimited projects, multi-brand tracking | Custom pricing |
Building Your AEO/GEO Monitoring Stack
The right tool depends on where you’re starting from.
An SEO team just beginning to track AI visibility should start with what it already pays for — Ahrefs Brand Radar or SE Ranking’s AI Visibility Tracker both layer AI monitoring onto keyword and competitor data already configured.
A brand or marketing team that needs sentiment, recommendations, and stakeholder-ready reporting is better served by a dedicated platform like Otterly.AI or Peec AI, built specifically around AI-answer monitoring.
An agency managing several client brands should weight workflow as heavily as data quality — Peec AI’s per-project structure and Goodie’s pitch-workspace model are both built for that.
And an enterprise team that needs cross-platform share-of-voice reporting at scale is the natural home for Profound, Scrunch AI, or AthenaHQ, depending on whether real-conversation data, machine-readable content delivery, or pipeline attribution matters most. Rankscale sits usefully across several of these personas as the flat-fee, no-upsell option.
None of that matters, though, until you’ve done the free version of this exercise yourself. Before signing up for any platform, open ChatGPT, Perplexity, and Google’s AI Overviews and ask the exact questions your customers ask when deciding whether to buy from you.
Watch whether your brand shows up, how it’s described, and who gets recommended instead. That single exercise, repeated across a handful of your highest-intent buying questions, will tell you more about your real AI visibility than any vendor’s demo.
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